Triple

T14373356
Position Surface form Disambiguated ID Type / Status
Subject Fashion and Leather Goods E356409 entity
Predicate ownsBrand P1500 FINISHED
Object Rossimoda
Rossimoda is an Italian luxury footwear company known for producing high-end shoes, often in collaboration with major fashion houses.
 E1095605 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Rossimoda | Statement: [Fashion and Leather Goods, ownsBrand, Rossimoda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rossimoda
Context triple: [Fashion and Leather Goods, ownsBrand, Rossimoda]
  • A. Olcha
    Olcha is an alternative name for the Ulch language, a Tungusic language spoken by the Ulch people in the Russian Far East.
  • B. Miu Miu
    Miu Miu is an Italian high-fashion brand known for its playful, avant-garde take on womenswear and accessories.
  • C. Burdines
    Burdines was a Florida-based department store chain known for its prominent presence in the state’s retail landscape before being absorbed into the Macy’s brand.
  • D. Valentinoise
    Valentinoise is the French demonym referring to a female inhabitant of the city of Valence in the Drôme department.
  • E. Tailo
    Tailo is a widely used Latin-based romanization system for writing Taiwanese Hokkien, employed in education, literature, and language preservation.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rossimoda
Triple: [Fashion and Leather Goods, ownsBrand, Rossimoda]
Generated description
Rossimoda is an Italian luxury footwear company known for producing high-end shoes, often in collaboration with major fashion houses.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rossimoda
Target entity description: Rossimoda is an Italian luxury footwear company known for producing high-end shoes, often in collaboration with major fashion houses.
  • A. Olcha
    Olcha is an alternative name for the Ulch language, a Tungusic language spoken by the Ulch people in the Russian Far East.
  • B. Miu Miu
    Miu Miu is an Italian high-fashion brand known for its playful, avant-garde take on womenswear and accessories.
  • C. Burdines
    Burdines was a Florida-based department store chain known for its prominent presence in the state’s retail landscape before being absorbed into the Macy’s brand.
  • D. Valentinoise
    Valentinoise is the French demonym referring to a female inhabitant of the city of Valence in the Drôme department.
  • E. Tailo
    Tailo is a widely used Latin-based romanization system for writing Taiwanese Hokkien, employed in education, literature, and language preservation.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de9007184c8190aebb003cb6548cc8 completed April 14, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c5514688190be90776c8764d4f3 completed May 8, 2026, 2:37 a.m.
NEDg Description generation batch_69fd4d56b67c8190bc9ecd4f444df780 completed May 8, 2026, 2:41 a.m.
NED2 Entity disambiguation (via description) batch_69fd4e9a678c8190bd1821e6c43a3a1a completed May 8, 2026, 2:46 a.m.
Created at: April 10, 2026, 1:15 a.m.